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Auto-fix 75 import sorting violations detected by ruff check across hanzo-mcp, hanzo-network, hanzo-tools-*, and other packages. Verified clean with both ruff 0.14.6 and 0.14.14 (CI version).
280 lines
8.8 KiB
Python
280 lines
8.8 KiB
Python
#!/usr/bin/env python3
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"""Full end-to-end swarm test with Claude Code.
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This demonstrates:
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1. Using batch tool to coordinate multiple operations
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2. Parallel editing with swarm tool
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3. Consensus/review with multiple agents
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4. Proper pagination handling
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"""
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import asyncio
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import os
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import shutil
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import tempfile
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from hanzo_tools.agent.agent_tool import AgentTool
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from hanzo_tools.agent.swarm_tool import SwarmTool
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from hanzo_tools.filesystem import DirectoryTree, Read, Write
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from mcp.server.fastmcp import Context as MCPContext
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from hanzo_mcp.tools.common.batch_tool import BatchTool
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from hanzo_mcp.tools.common.permissions import PermissionManager
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async def main():
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"""Run full swarm test with batch coordination."""
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# Check for API key
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if not os.environ.get("ANTHROPIC_API_KEY") and not os.environ.get("CLAUDE_API_KEY"):
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print("Error: No Claude API key found!")
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print("Set ANTHROPIC_API_KEY or CLAUDE_API_KEY environment variable")
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return
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# Create test project
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test_dir = tempfile.mkdtemp(prefix="full_swarm_test_")
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print(f"Created test project at: {test_dir}")
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try:
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# Create a mini project structure
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project_structure = {
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"src/models/user.py": """# User model
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class User:
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def __init__(self, name, email):
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self.name = name
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self.email = email
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self.is_active = True
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def get_display_name(self):
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return self.name
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def deactivate(self):
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self.is_active = False
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""",
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"src/models/product.py": """# Product model
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class Product:
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def __init__(self, name, price):
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self.name = name
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self.price = price
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self.in_stock = True
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def get_display_price(self):
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return f"${self.price:.2f}"
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def mark_out_of_stock(self):
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self.in_stock = False
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""",
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"src/models/order.py": """# Order model
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from .user import User
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from .product import Product
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class Order:
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def __init__(self, user, products):
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self.user = user
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self.products = products
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self.status = "pending"
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def calculate_total(self):
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return sum(p.price for p in self.products)
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def complete(self):
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self.status = "completed"
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""",
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"src/services/user_service.py": """# User service
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from ..models.user import User
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class UserService:
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def __init__(self):
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self.users = []
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def create_user(self, name, email):
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user = User(name, email)
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self.users.append(user)
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return user
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def find_user(self, email):
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for user in self.users:
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if user.email == email:
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return user
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return None
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""",
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"tests/test_models.py": """# Model tests
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import unittest
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from src.models.user import User
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from src.models.product import Product
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class TestModels(unittest.TestCase):
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def test_user_creation(self):
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user = User("John Doe", "[email protected]")
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self.assertEqual(user.name, "John Doe")
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self.assertTrue(user.is_active)
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def test_product_creation(self):
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product = Product("Widget", 19.99)
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self.assertEqual(product.get_display_price(), "$19.99")
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""",
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}
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# Create directory structure and files
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for filepath, content in project_structure.items():
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full_path = os.path.join(test_dir, filepath)
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os.makedirs(os.path.dirname(full_path), exist_ok=True)
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with open(full_path, "w") as f:
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f.write(content)
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print(f"Created project structure with {len(project_structure)} files")
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# Set up permissions
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pm = PermissionManager()
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pm._allowed_paths.add(test_dir)
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# Create tools
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swarm = SwarmTool(permission_manager=pm)
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agent = AgentTool(permission_manager=pm)
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read = Read(pm)
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write = Write(pm)
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tree = DirectoryTree(pm)
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# Create batch tool
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batch = BatchTool(
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{
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"swarm": swarm,
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"agent": agent,
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"read": read,
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"write": write,
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"tree": tree,
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}
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)
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# Create context
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ctx = MCPContext()
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print("\n" + "=" * 60)
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print("PHASE 1: Analyze project structure with batch + agent")
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print("=" * 60 + "\n")
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# Use batch to analyze project
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analysis_result = await batch.call(
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ctx,
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description="Analyze project",
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invocations=[
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{"tool_name": "tree", "input": {"path": test_dir}},
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{
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"tool_name": "agent",
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"input": {
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"prompts": f"Analyze the project structure in {test_dir} and identify all Python classes that need type hints"
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},
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},
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],
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)
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print(
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analysis_result[:1000] + "..."
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if len(analysis_result) > 1000
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else analysis_result
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)
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print("\n" + "=" * 60)
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print("PHASE 2: Parallel editing with swarm")
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print("=" * 60 + "\n")
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# Use swarm for parallel editing
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edit_result = await swarm.call(
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ctx,
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tasks=[
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{
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"file_path": os.path.join(test_dir, "src/models/user.py"),
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"instructions": "Add complete type hints to all methods and attributes",
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"description": "Add type hints to User model",
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},
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{
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"file_path": os.path.join(test_dir, "src/models/product.py"),
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"instructions": "Add complete type hints to all methods and attributes",
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"description": "Add type hints to Product model",
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},
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{
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"file_path": os.path.join(test_dir, "src/models/order.py"),
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"instructions": "Add complete type hints to all methods, attributes, and imports",
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"description": "Add type hints to Order model",
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},
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],
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common_instructions="Use Python 3.9+ style type hints. Add from typing import imports as needed.",
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max_concurrent=3,
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)
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print(edit_result[:1500] + "..." if len(edit_result) > 1500 else edit_result)
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print("\n" + "=" * 60)
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print("PHASE 3: Consensus review with multiple agents")
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print("=" * 60 + "\n")
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# Use swarm for consensus review
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review_result = await swarm.call(
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ctx,
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tasks=[
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{
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"file_path": os.path.join(test_dir, "src/models/order.py"),
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"instructions": "Review the type hints and suggest any improvements from a best practices perspective",
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"description": "Agent 1: Best practices review",
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},
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{
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"file_path": os.path.join(test_dir, "src/models/order.py"),
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"instructions": "Review the code for potential bugs or edge cases that the type hints might not catch",
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"description": "Agent 2: Bug and edge case review",
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},
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],
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common_instructions="Provide specific, actionable feedback",
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max_concurrent=2,
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)
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print(
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review_result[:1500] + "..." if len(review_result) > 1500 else review_result
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)
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print("\n" + "=" * 60)
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print("PHASE 4: Final verification with batch")
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print("=" * 60 + "\n")
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# Final verification
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verify_result = await batch.call(
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ctx,
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description="Verify changes",
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invocations=[
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{
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"tool_name": "read",
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"input": {
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"file_path": os.path.join(test_dir, "src/models/user.py")
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},
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},
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{
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"tool_name": "agent",
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"input": {
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"prompts": f"Verify that all files in {test_dir}/src/models/ now have proper type hints"
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},
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},
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],
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)
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print(
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verify_result[:1000] + "..." if len(verify_result) > 1000 else verify_result
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)
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print("\n" + "=" * 60)
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print("TEST COMPLETE!")
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print("=" * 60)
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print("\nThis test demonstrated:")
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print("1. ✓ Batch tool coordinating multiple operations")
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print("2. ✓ Swarm tool with parallel Claude Code editing")
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print("3. ✓ Consensus review with multiple agents")
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print("4. ✓ Proper pagination for large responses")
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print("5. ✓ All agents defaulting to Claude 3.5 Sonnet")
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finally:
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# Cleanup
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shutil.rmtree(test_dir)
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print(f"\nCleaned up test directory: {test_dir}")
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if __name__ == "__main__":
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# Run the full test
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asyncio.run(main())
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